similar to: UNSOLVED: Fwd: generate correlated qualitative data

Dear R experts: I have following problem: # myfunction mfun1 <- function(x) { if ( x == 2){ xv <- sample(c(2,1,0),100, replace = T, prob = c(0.6, 0.2, 0.2)) } if ( x == 1){ xv <- sample(c(1,0),100, replace = T, prob = c(0.6, 0.4)) } if ( x == 0) { xv <- sample(c(0,0),100, replace = T, prob = c(0.5, 0.5)) } return(xv) } # applying the function x = mfun1(1) # just what I

Hi!! I am trying to generate data with specific correlation using corgen method from the ecodist package. It does not seem to generate the data properly. I am listing the code below. Secondly, when I put the code given below all in one file and source it, it is unable to complete the task. But when I execute it one at a time it is able to complete it. Can someone point out any mistake that I may

I wish to generate a vector of uniformly distributed data with a defined correlation to another vector The only function I have been able to find doing something similar is corgen from the library ecodist. The following code generates data with the desired correlation to the vector x but the resulting vector y is normal and not uniform distributed library(ecodist) x <- runif(10^5) y

Dear R People: Here is a function to minimized: >mfun1 function(x,a) { x[1] <- a[1]*x[2] + a[3] - a[2]*(a[1]-a[2])*a[3] x[2] <- a[1]*x[1] - a[2]*a[3] return(x) } Here is my first try: >nlm(mfun1,c(1,1)) Error in f(x, ...) : Argument "a" is missing, with no default > >nlm(mfun1,c(1,1),a=c(0.8,0.5,1)) Error in nlm(mfun1, c(1, 1), a = c(0.8, 0.5, 1)) :

RDQA is a package for Qualitative Data Analysis built upon R. It works both on the Windows and Linux/FreeBSD platforms. RQDA is an easy-to-use tool to assist in the analysis of textual data. At the present, it supports only plain text format data. All the information is stored in SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a

RDQA is a package for Qualitative Data Analysis built upon R. It works both on the Windows and Linux/FreeBSD platforms. RQDA is an easy-to-use tool to assist in the analysis of textual data. At the present, it supports only plain text format data. All the information is stored in SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a

Dear R People: I am trying to duplicate the example from Dennis and Schnabel's "Numerical Methods for Unconstrained Optimization and Nonlinear Equations", which starts on page 149. My reason for doing so: to try to understand the "nlm" function. Here is the function: >mfun1 function(x) { z <- matrix(0,nrow=2,ncol=1) z[1,1] <- x[1]^2 + x[2]^2 -

I would like to perform partial mantel tests on only within group values, with "between group" values assigned to NA. This is possible in package ncf partial.mantel.test, however this sues a different permutation to that used in ecodist.ecodist will not accept data with NA values, returning a "matrix is not square error. is it possible to perform this test in ecodist? many thanks

Dear R experts, I am trying to simulate correlated binary data and have stumbled upon the following problem: With the help of "binarySimCLF" or "mvpBinaryEp" I have been able to simulate correlating binary vectors given certain mean values and a desired correlation. My problem is that these procedures do not allow you to specify the exact vector for which you want to generate

Hello, My name is Dontrece Smith. I am creating figures for my GAMs. I change my qualitative variables to 1 or 2 in my dataset, so I would be able to run my GAMs. However, R will only display plots for my quantitative variables and not my qualitative variables. Is there any way to fix this issue? I listed some of my code below: > library(mgcv) This is mgcv 1.7-13. For overview type

I am using the read.table function to load an Excel data set into R. It has a few variables with very long qualitative (free response typically in sentences) response that I would like to keep, but would like to limit the "length" of the response that R shows. Is there some sort of string or column width command I can include in the read.table function to limit the length of words used

On 6/27/19 12:11 PM, hwilmer wrote: > On 6/26/19 1:33 PM, hwilmer wrote: >> >> Hi, >> >> how can I create a self-signed certificate for asterisk which >> actually works? > > follow this guide: > https://fabianlee.org/2018/02/17/ubuntu-creating-a-trusted-ca-and-san-certificate-using-openssl-on-ubuntu/ > This has again, and for no reason, ceased to

Running 'make check' I get two errors: running code in 'mva-Ex.R' .../usr/lib/dld.sl: Unresolved symbol: meet_ (code) from /users1/kleiweg/R-1.6.0-source/library/cluster/libs/cluster.sl running code in 'tcltk-Ex.R' .../usr/lib/dld.sl: Unresolved symbol: Tcl_EvalObjv (code) from /users1/kleiweg/R-1.6.0-source/library/tcltk/libs/tcltk.sl Version: platform =

On 7/5/19 10:50 AM, Doug Lytle wrote: > On 7/4/19 6:40 PM, hw wrote: >> This has again, and for no reason, ceased to work again after >> restarting asterisk.  No matter what I try, I can't create a >> certificate asterisk >> would verify. > > Have you considered using LetsEncrypt for a valid certificate? > > Doug > > What would be the point

Some days ago I wrote about an inaccessible mailbox after an upgrade from 0.99.14 to 1.0rc10. Today I get this problem with another mailbox but it seems to be it is not only related to the upgrade : - user comes back from holiday, does not see his inbox : dovecot: Oct 24 18:51:09 Error: IMAP(abcd): file mbox-sync-rewrite.c: line 405 (mbox_sync_read_and_move): assertion failed: (need_space ==

Hello, I have a question regarding competing risk regression using cmprsk package (function crr()). I am using R2.9.1. How can I do to assess the effect of qualitative predictor (gg) with more than two categories (a,b,c) categorie c is the reference category. See above results, gg is considered like a ordered predictor ! Thank you for your help Jan > # simulated data to test > set.seed(10)

Hi, I have some doubt about how qualitative factors are coded in R. For instance, I consider a response y, a quantitative factor x and a qualitative factor m at 3 levels, generated as follow : y_c(6,4,2.3,5,3.5,4,1.,8.5,4.3,5.6,2.3,4.1,2.5,8.4,7.4) x_c(3,1,3,1,2,1,4,5,1,3,4,2,5,4,3) m_gl(3,5) lm(y~x+m) Coefficients: (Intercept) x m2 m3 3.96364 0.09818

Hi, I want to know is there other functions in R to estimate qualitative response model besides multinom() in library nnet, if this is the only possibility, I have a question about the application: for example: there is three transportation choice : car, bus , subway. each alternative has own characteristic variables, I want to apply conditional logit model to analysis the choice of three

Hi all, SHOULD POINT AND PRINT WORK WITH OPTIONAL DEVICE PARTS (eg. DUPLEX UNIT)? (If anyone managed to get it work please tell me:-)) Problem Description: =============== We have samba-2.2.3a (with patched srv_spoolss_nt) running on SuSE 7.3 with kernel version 2.4.17-SMP. Clients are running Windows 2000 SP2. We have several HP printers. We want to distribute the print drivers using

Samba - General mailing list wrote > On Tue, 17 Jan 2017 04:30:31 -0800 (PST) > rawi via samba &lt; > samba at .samba > &gt; wrote: > >> Oh and I forgot, I am running a DNS server on the DC, on the right >> port and with all my clients are needing. >> They are only not served trough samba but directlly by bind. If they >> (clients) would see any